AI in Manufacturing is a topic of growing importance in many area such as smart manufacturing and Industry 4.0. This section presents references on on-going projects, pilot experiments in the field and initial results in that area.
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Python script implemented to automate the extraction of STEP file’s orthogonal projections using tools available on PIXYZ Studio software.
dAIEDGE planned activities will be carried out along a 36-month project. Along this period, we will engage 30 third-party projects to foster mobility and research exchange and perform industrial research projects. This will be achieved through the publica...
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This recurrent neural network model exploits historical data measured from machine sensors to perform inference on future usage and detect possible future faults in the machine itself. Explainability metrics targets sensor groups and are powered by the SH...
This regression model exploits historical data measured from machine sensors to perform inference on future usage and detect possible future faults in the machine itself. Explainability metrics targets sensor groups and are powered by the SHAP library.
List of Deep Learning models for defecting defect on an image dataset of metal assembly pieces
Machine Learning and Deep Learning models to detect anomalies using time series data.